CTO PoV: Enterprise Networks (Part 2)

The line between operational technology (OT) and information technology (IT) begins to blur as these two worlds converge. Leverage the ICONICS GENESIS64 suite, including BridgeWorX64, to create solutions like the Information Broker to seamlessly bridge that gap. Our guest speaker, David Powell, the Team Leader of Arup’s Controls and Commissioning Group in New York, will talk about his experiences in integrated systems design and management of large complex projects and will talk about how ICONICS is being used at a major airport to provide channels of information between the OT and IT worlds, transforming the OT data to fit into whatever format IT demands. Learn how to implement the glue that holds your enterprise applications together, then step back and watch that data flow.

The Procore platform is built for every construction process—our analytics tool makes sense of it all. Watch how a platform-based analytics solution helps you maximize the value of all your project information.

Artificial intelligence depends on machine learning, and machine learning depends on machine learning engineers. What does it take to build a career in machine learning? You need to understand the educational paths and the career opportunities for entry into machine learning. You should also know about the different career paths that machine learning skills can lead to.

Many organizations and teams are looking for ways to implement AI into their workflow or applications, but aren’t sure how. Whether you are an executive or innovation lead looking to implement AI to improve your workflow, a product manager seeking to add AI to your applications, R&D or engineering leads seeking ways to automate your work with AI this session will give you everything you need to jumpstart your AI journey. In this webinar, AI Innovation leader Orly Amsalem will share strategies to shorten the time to market for AI initiatives in your organization, and give you the practical tools, architectures and skills needed to be successful in AI. You will learn how to make use of existing software development resources in your organization, and learn the considerations and building blocks for making your AI initiative successful within a shorter period of time.